Gabriel Leydon engagement report
@gabrielleydon - 936K followers on X
Measured over 1 original post from a 30-day window, last computed on October 16, 2026.
Engagement
Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 2 interactions against 936K followers, an engagement rate of 0%. Posts are seen about 2.2K times each, and 0.091% of those impressions turn into an interaction. That is about 0.234% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 03:00 UTC, and Saturday is the busiest day of the week. The account's strongest tracked post pulled 4.8K interactions. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 1 original post from a 30-day window, last computed on October 16, 2026.
Where this sits in the catalog
At under 0.001%, Gabriel Leydon sits below the 10th percentile of the 204,694 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 03:00 UTC, and Saturday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 0% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 139 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Feb 6, 2026
🚨 BITCOIN MAX SUPPLY IS NO LONGER 21 MILLION NOW. And this is what causing market's crash. If you still think Bitcoin price is moving only because of spot buying and selling, you are missing the bigger picture. Bitcoin no longer trades purely as a supply demand asset. That structure changed the moment large derivatives markets took control of price discovery. And that shift is a big reason why price behavior feels disconnected from on chain fundamentals today. Originally, Bitcoin’s valuation was built on two core ideas: • Fixed supply of 21 million coins • No ability to duplicate that supply This made Bitcoin structurally scarce. Price discovery was driven mostly by real buyers and sellers in the spot market. But over time, a second layer formed on top of Bitcoin, a financial layer. This layer includes: • Cash settled futures • Perp swaps and options • Prime broker lending • WBTC products • Total return swaps None of these create new BTC on chain. But they do create synthetic exposure to BTC price. And that synthetic exposure plays a major role in how price is set. This is where the structure changes. Once derivatives volume becomes larger than spot volume, price stops reacting mainly to real coin movement. It starts reacting to positioning, leverage, and liquidation flows. In simple terms: Price moves based on how traders are positioned, not just on how many coins are being bought or sold physically. There is also another layer to this, synthetic supply. One real BTC can now be referenced or used across multiple financial products at the same time. For example, the same coin can simultaneously support: • An ETF share • A futures position • A perpetual swap hedge • Options exposure • A broker loan structure • A structured product This does not increase on chain supply. But it increases tradable exposure linked to that coin. And that affects price discovery. When synthetic exposure becomes large relative to real supply, scarcity weakens in market pricing terms. This is often referred to as synthetic float expansion. At that stage: • Rallies get shorted through derivatives • Leverage builds quickly • Liquidations drive sharp moves • Price becomes more volatile This is not unique to Bitcoin. The same structural shift happened in: Gold, Silver, Oil, Equity indices. Once derivatives markets became dominant, price discovery shifted away from physical supply alone. This also explains why Bitcoin sometimes falls even when there's not much spot selling. Because price pressure can come from: • Leveraged long liquidations • Futures short positioning • Options hedging flows • ETF arbitrage trades Not just spot selling. So the current Bitcoin decline cannot be understood only through retail sentiment or spot flows. A large part of the move is happening in the derivatives layer, where leverage and positioning drive short term price action. This does not mean Bitcoin’s supply cap changed on chain. The 21 million limit still exists. But in financial markets, paper Bitcoin is now dominating and this is what's causing the crash.
- Apr 1, 2026
Down to 75
- Apr 15, 2026360x their median
We’ve officially launched a limited test of @limitbreak first mobile game: Puzzle Panic! Now live on iOS in New Zealand, Australia, and Singapore. https://t.co/9ZB0tZ0Gz8
- Mar 9, 2026
Apptoken Skills are here. Your agents just got an upgrade. Build smarter. Ship faster. Go from idea to programmable token experience. https://t.co/s6UamJffy6
- Mar 12, 2026238x their median
🚨CRYPTO DEV ACTIVITY PLUNGES Crypto code commits are down 75% and active developers have fallen 56% since early 2025. Much of the talent is shifting to AI projects, leaving a smaller group of experienced developers driving most blockchain development. https://t.co/gTMPIArO46
- Feb 26, 2026208x their median
bAXS is LIVE! bAXS Airdrop 1 is Coming Soon 🪂 Lunacians, Axie is entering a new phase. Today, bAXS officially goes live. Bonded AXS is now usable, stakeable, and fully integrated into Axie Core. The first bAXS airdrop is happening in the next few days. Here's everything you need to know 👇 📜 : https://t.co/nfb8s0M5xC
- Feb 25, 2026
Today, Kodas and Otherdeeds were upgraded to ERC721C compatible Creator Token contracts. This replaces our legacy royalty enforcement path with LimitBreak’s model, which is more compatible with how modern NFT marketplaces operate. For now, both collections are in an open ruleset to avoid disruption. Existing listings remain fillable, however new listings on OpenSea / Magic Eden will include a 5% creator royalty. Next week, we will switch to a restrictive ruleset. at that point, listings that don’t satisfy royalty rules will no longer be fillable. If you have a deed or a koda that's currently listed, and you want to keep that listing, make sure you recreate it under the new rules before next week.
- Feb 20, 2026104x their median
🚨 A new $150,000 Guardian Defender contest is coming soon. Hunt for bugs in @limitbreak’s AMM — Critical, High, and Medium severities will all be eligible for payouts. Full details and how to participate below 👇 https://t.co/0pLTAv9krM
- Apr 15, 2026
We’ve officially launched a limited test of @limitbreak first mobile game: Puzzle Panic! Now live on iOS in New Zealand, Australia, and Singapore. https://t.co/l2AnaxKMlR
- Mar 4, 2026
Limit Break is building a next-generation blockchain experience. Be the first to know when testnet opens. 👇
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
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Reading these numbers
A typical post picks up 2 interactions against 936K followers, an engagement rate of 0%. Posts are seen about 2.2K times each, and 0.091% of those impressions turn into an interaction. That is about 0.234% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 03:00 UTC, and Saturday is the busiest day of the week. The account's strongest tracked post pulled 4.8K interactions. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Gabriel Leydon's engagement rate on X?
- Gabriel Leydon (@gabrielleydon) has an engagement rate of 0%, based on the median interactions across 1 original posts from the last 30 days against 935,704 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At under 0.001%, Gabriel Leydon sits below the 10th percentile of the 204,694 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @gabrielleydon have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @gabrielleydon post?
- Most posts go out around 03:00 UTC, and Saturday is its busiest day, at roughly 0.07 posts per day across the measured window.